Hemera

Hemera is a Fremont-based company developing data infrastructure for the Web3 ecosystem. The firm, founded in 2020 by CEO Arthur Meng, CTO Shuo Shan, and CGO Sammi Shu, aims to address challenges in querying on-chain data. The founding team's prior experience involved building and selling enterprise software powered by machine learning to large corporations, focusing on user behavior analysis such as identifying sybil attackers and high-value users. This background in large-scale AI and data systems informed their approach to Hemera.

The company officially launched in May 2024, announcing a $2.6 million seed funding round co-led by LIF Capital and Nomad Capital, with participation from SNZ, Chainlink, and several angel investors. This capital is intended to support growth and continued development. The core of Hemera's offering is its Account-Centric Indexing (ACI) protocol, designed to standardize and simplify the retrieval of on-chain data. This protocol tackles the growing complexity and fragmentation of data across multiple blockchain ecosystems. It works by creating a decentralized indexing network that aggregates transactions across different chains, maintaining real-time updates of each account's assets and social states. The system is engineered for high throughput and low latency, capable of supporting hundreds of thousands of transactions per second with sub-100ms response times.

Hemera serves developers, decentralized applications (dApps), and blockchain infrastructure projects like protocols and new chains. The business model provides this data infrastructure as a public good, with the goal of democratizing access to on-chain data and AI. The company's technology enables developers to build applications for use cases such as blockchain explorers, on-chain asset portfolios, and social graphs. One of its primary products is the Hemera Protocol, which functions as an operating system for Web3, allowing developers to query data using a Web3-optimized Large Language Model (LLM) or traditional query languages. Another key offering is SocialScan, a community-owned AI application built on the protocol, which provides a gateway for users to interact with various Web3 services through customizable AI agents. This addresses a market need, as building in-house data functionalities can be prohibitively expensive for dApp builders and new blockchains.

Keywords: on-chain intelligence, Web3 data infrastructure, Account-Centric Indexing, ACI protocol, blockchain data, decentralized AI, SocialScan, Large Language Model, LLM, on-chain data querying, multi-chain data, blockchain analytics, crypto data network, programmable data, Arthur Meng, Shuo Shan, Sammi Shu, LIF Capital, Nomad Capital, Chainlink, Web3 developers